US
Country
3 year
Project Duration
10 specialists
Team
This is an advanced platform that uses artificial intelligence to automate the entire process of finding and bidding on government contracts.
The system makes it easier and faster for companies to discover opportunities, understand requirements, and submit competitive proposals.
Searching through thousands of government contracts across multiple websites and specialized databases like GovWin and NASA SEWP to find relevant opportunities.
Using AI to automatically identify which contracts are a good fit for bidding, and filtering them based on specific criteria that users can customize.
Comparing the client's prices with competitors and analyzing how prices have changed over time to stay competitive.
Creating a system that can prepare and submit bids automatically, including sending email alerts to the right people with follow-up reminders.
Managing complex, multi-step processes efficiently while handling large amounts of data and documents.
Selecting AI models that provide accurate, well-organized answers while staying within budget constraints (using tools like Grok).
Bringing together various company tools like spreadsheets, email accounts, and cloud storage into one unified system.
Reducing expensive subscription fees for government data sources by developing our own methods to gather information from websites.
Moving from a single, all-in-one system to a modular design that can handle growth and won't crash when overloaded.
Ensuring that information doesn't get lost during processing, especially when dealing with multiple steps in the workflow.
Achieving SOC2 certification requirements by implementing comprehensive security measures throughout the entire platform.
Built a fully automated system that combines all platform features into one smooth process. Users can schedule it to run automatically at specific times or start it manually whenever needed, with notifications to alert them of successes or issues.
Created a search system that can find contracts using multiple filters like location, status, industry type, business category, and publication dates, both from the platform's own database and external sources.
Integrated AI tools that review selected contracts and highlight important details based on questions and criteria that users set up themselves.
Implemented a message queue system (using RabbitMQ) that ensures each step of the process happens in the right order, prevents data loss if something goes wrong, and automatically retries failed operations.
Utilized modern tools and libraries like Cheerio, ZenRows, and SerpAPI for efficient and fault-tolerant scraping, enriching our database and business logic.
Developed an automated email system that notifies suppliers and interested team members when relevant contract opportunities are found, with automatic follow-up reminders.
Prepared for SOC2 audit: implemented extensive security improvements including user role management (limiting who can access what), automatic data backups, approval requirements for sensitive operations, and continuous security monitoring using specialized tools.
Established strict development practices requiring multiple team members to review code changes, mandatory testing before deployment, regular software updates, and ongoing security checks for all parts of the platform.
Enhanced the administrative dashboard to make it easier to invite new users, remove old accounts, and control precisely what each person can access within the platform.
Added multiple security features for logging in, including two-factor authentication and enterprise single sign-on through popular platforms like CyberArk, Okta, and Azure.
Created a module that uses AI to predict future prices for specific items based on past data, visualizes pricing trends over time, generates automatic reports on purchasing patterns, and organizes items with custom tags for better tracking.
Used OpenAI's technology to quickly process documents and generate accurate, detailed responses.
Connected all existing company resources into one cohesive platform.
Developed custom methods to gather contract information directly from websites. This helped to avoid expensive subscription fees while still providing reliable access.
Redesigned the platform using a modular architecture that allows different parts to work independently. The performance improved and it became easier to add new features.
Designed and built the entire web application from the ground up, including all visual design and functionality.
Created a comprehensive system that connects search, AI analysis, and automated notifications with built-in monitoring and error recovery.
Developed sophisticated AI capabilities for matching contracts, analyzing requirements, and predicting prices based on customizable criteria.
Built AI-powered tools for price forecasting, procurement trend analysis, and automated report generation.
Enhanced the quality of responses from various LLMs for better domain-specific results.
Implemented SOC2-compliant security infrastructure, enhanced administrative controls, and enterprise authentication with multiple security layers.
Implemented a modular system design with reliable message handling to improve efficiency, scalability, and dependability.
React JS
Nest JS
Python
ZenRows
SerpAPI
Node.js
RabbitMQ
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Learn more Throughout the collaboration, we evolved the platform from its initial version into a fully automated, enterprise-grade system.
We successfully tackled complex challenges including orchestrating multi-step workflows, selecting and optimizing AI models, meeting enterprise security standards, and developing cost-effective ways to gather data.
The implementation of a reliable message processing system, completion of SOC2 security certification preparations, and development of the Historical Price Intelligence module demonstrate our commitment to building robust, scalable solutions. This ongoing project continues to evolve, and the client is extremely satisfied with the results: the bidding process is now faster, more secure, and significantly more effective.
